{"id":"W1533933130","doi":"10.1007/3-540-44886-1_14","title":"A Comparison of Consistency Propagation Algorithms in Constraint Optimization","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Local consistency; Consistency (knowledge bases); Constraint (computer-aided design); Heuristic; Algorithm; Computer science; Mathematical optimization; Arc (geometry); Constraint satisfaction problem; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01035149,0.002043111,0.002679886,0.004177706,0.001389811,0.004856666,0.005307516,0.002844695,0.01026842],"category_scores_gemma":[0.03885174,0.00122868,0.002030369,0.01113493,0.001484959,0.009712942,0.003150773,0.00397391,0.00184914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002350114,"about_ca_system_score_gemma":0.004623767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008891818,"about_ca_topic_score_gemma":0.01101662,"domain_scores_codex":[0.9909366,0.003530169,0.0005964581,0.0007886789,0.003676761,0.0004714167],"domain_scores_gemma":[0.9559599,0.03274592,0.0008939314,0.004794645,0.005137366,0.000468234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001073343,0.0005578687,0.001105182,0.0008618877,0.0003128306,0.00003694635,0.000213392,0.1171367,0.00112831,0.07465128,0.0122724,0.79065],"study_design_scores_gemma":[0.0002884053,0.0002860648,0.001478132,0.0002512185,0.0002551146,0.0001636465,0.0002659142,0.8916582,0.004403667,0.0868431,0.01402954,0.00007703083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0133255,0.006934781,0.9582981,0.000714791,0.0004351131,0.0003581763,0.0004154011,0.002399011,0.01711917],"genre_scores_gemma":[0.08381645,0.005369916,0.902855,0.0003390004,0.0002136834,0.0003263057,0.001160987,0.001374385,0.004544279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01035149,"threshold_uncertainty_score":0.0547446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02290560349101612,"score_gpt":0.2719477538548978,"score_spread":0.2490421503638817,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}